经验小波变换在桥梁模态参数识别中的应用  

Application of Empirical Wavelet Transform in Modal Parameter Identif ication of Bridge Structure

作　　者：夏雄[1] 单德山[1] XIA Xiong, SHAN Deshan(School of Civil Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, Chin)

机构地区：[1]西南交通大学土木工程学院,四川成都610031

出　　处：《铁道建筑》2018年第6期8-12,共5页Railway Engineering

基　　金：国家重点研发计划(2016YFC0802202);国家自然科学基金(51678489)

摘　　要：针对桥梁结构模态密集、测试信号噪声强度高等特点,为在时频域内识别桥梁结构的模态参数,引入最新的经验小波变换,提出了一种基于经验小波变换的桥梁结构模态参数识别方法,以仿真信号验证了该方法在信号分解上的有效性。结合某曲线斜拉桥模型试验动力测试数据,识别了该模型桥梁前六阶竖向自振频率和前四阶横向自振频率,结果表明:该方法能对桥梁测试信号有效分解,各分量之间不存在模态混叠,并能正确识别出桥梁结构的模态参数,为该领域的研究提供了新思路。Given the problems of dense modal of bridge structure and high noise intensity of test signal,to identify the modal parameters of bridge structure in the time-frequency domain,the latest method of signal processing called empirical wavelet transform was introduced into the bridge modal parameter identification. The effectiveness of empirical wavelet transform in signal decomposition was verified using simulated signals. By comparison with the dynamic model test data of a curved cable-stayed bridge,the first 6 orders of the vertical nature vibration frequencies and the first 4 orders of the transverse nature vibration frequencies of the bridge model were identified.The results show that this method may effectively decompose the test signal of bridge without modal mixture between components and correctly identify the modal parameters of the bridge structure.Therefore,this method provides an insight for the research in this field.

关 键 词：公路桥梁 模态参数识别 模型试验 经验小波变换 信号处理 曲线斜拉桥 

分 类 号：U448.27[建筑科学—桥梁与隧道工程]